CDMP-RMD VALID EXAM PATTERN & FREE CDMP-RMD PRACTICE

CDMP-RMD Valid Exam Pattern & Free CDMP-RMD Practice

CDMP-RMD Valid Exam Pattern & Free CDMP-RMD Practice

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Tags: CDMP-RMD Valid Exam Pattern, Free CDMP-RMD Practice, Exam CDMP-RMD Cram Questions, CDMP-RMD Certified, CDMP-RMD Reliable Study Guide

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DAMA CDMP-RMD Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Stewardship: The management of reference and master data by data stewards is the focal point of this topic. It addresses concepts such as accuracy, consistency, and quality of data.
Topic 2
  • Master Data Management (MDM) Lifecycle: The phases of the MDM lifecycle such as planning, design, implementation, and continuous operation are covered in this section.
Topic 3
  • MDM and RDM Tools and Technologies: The technologies and tools available for managing reference and master data are discussed in this section.
Topic 4
  • Data Quality Management: The methods and procedures for guaranteeing the quality of reference and master data are examined in this topic. Moreover, it focuses on validation, monitoring, and data cleansing.
Topic 5
  • Data Architecture: The design and implementation of data architecture for reference and master data are covered in detail in this topic. It addresses concepts including integration, standardization, and data modeling.

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Latest DAMA CDMP-RMD Exam Questions in PDF Format

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DAMA Reference And Master Data Management Exam Sample Questions (Q73-Q78):

NEW QUESTION # 73
A catalog where products are organized by category is an example of?

  • A. A marketing mix
  • B. A meronomy
  • C. A metadata repository
  • D. A taxonomy

Answer: D

Explanation:
A catalog where products are organized by category is an example of a taxonomy. Here's why:
* Definition of Taxonomy:
* Classification System: Taxonomy refers to the practice and science of classification. It involves organizing items into hierarchical categories based on their relationships and similarities.
* Example: In the context of a product catalog, taxonomy is used to classify products into categories and subcategories, making it easier to browse and find specific items.
* Application in Product Catalogs:
* Categorization: Products are grouped into logical categories (e.g., Electronics, Clothing, Home Appliances) and subcategories (e.g., Smartphones, Laptops, Televisions).
* Navigation and Search: Helps users navigate the catalog efficiently and find products quickly by narrowing down categories.
* References:
* Data Management Body of Knowledge (DMBOK), Chapter 9: Data Architecture
* DAMA International, "The DAMA Guide to the Data Management Body of Knowledge
* (DMBOK)"


NEW QUESTION # 74
Which of the following is NOT a metric that c.tn be tied to Reference and Master Data Quality?

  • A. Data sharing usage
  • B. The rate of change of data values
  • C. Service Level Agreements
  • D. Operational functions
  • E. Data sharing volume

Answer: D

Explanation:
Metrics tied to Reference and Master Data Quality generally include:
* Data Sharing Usage: Measures how often master data is accessed and used across the organization.
* Rate of Change of Data Values: Tracks how frequently master data values are updated or modified.
* Service Level Agreements (SLAs): Monitors adherence to agreed-upon service levels for data availability, accuracy, and timeliness.
* Data Sharing Volume: Measures the volume of data shared between systems or departments.
* Excluded Metric - Operational Functions: While operational functions are important, they are not typically considered metrics for data quality. Operational functions refer to the various tasks and processes performed by systems and personnel but do not directly measure data quality.
* References:
* Data Management Body of Knowledge (DMBOK), Chapter 7: Master Data Management
* DAMA International, "The DAMA Guide to the Data Management Body of Knowledge (DMBOK)"


NEW QUESTION # 75
What is the best way to ensure you have high quality reference data?

  • A. Only use data from external data providers
  • B. Implement Data Governance and Stewardship
  • C. Create drop-down menus for data entry to prevent all invalid data
  • D. Only use standard reference data provided by ISO
  • E. Only use reference data from government sources

Answer: B

Explanation:
Ensuring high-quality reference data is critical for maintaining data accuracy, consistency, and reliability across an organization. The best way to achieve this is through robust data governance and stewardship practices.
* Government Sources:
* While government sources can be reliable, they are not the only sources of high-quality reference data. Relying solely on them may limit the comprehensiveness of reference data.
* Drop-Down Menus:
* Drop-down menus can help prevent invalid data entry but do not address the overall quality and governance of reference data.
* Data Governance and Stewardship:
* Implementing data governance and stewardship ensures that reference data is managed according to defined policies, standards, and procedures.
* Data governance involves establishing a framework for decision-making, accountability, and control over data management processes.
* Data stewardship assigns responsibility for data quality, ensuring that data is accurate, consistent, and fit for purpose.
* Standard Reference Data (ISO):
* Using standard reference data from organizations like ISO can enhance data quality, but it should be part of a broader governance strategy.
* External Data Providers:
* External data providers can offer high-quality reference data, but relying solely on them without proper governance can lead to inconsistencies and data quality issues.


NEW QUESTION # 76
Is there a standard tor defining and exchanging Master Data?

  • A. No. there are no standards because not everyone uses Master Data
  • B. Yes, ISO 22745
  • C. No. every corporation uses their own method
  • D. Yes. it is called ETL

Answer: B

Explanation:
ISO 22745 is an international standard for defining and exchanging master data.
* ISO 22745:
* This standard specifies the requirements for the exchange of master data, particularly in industrial and manufacturing contexts.
* It includes guidelines for the structured exchange of information, ensuring that data can be shared and understood across different systems and organizations.
* Standards for Master Data:
* Standards like ISO 22745 help ensure consistency, interoperability, and data quality across different platforms and entities.
* They provide a common framework for defining and exchanging master data, facilitating smoother data integration and management processes.
* Other Options:
* ETL:Refers to the process of Extract, Transform, Load, used in data integration but not a standard for defining master data.
* Corporation-specific Methods:Many organizations may have their own methods, but standardized frameworks like ISO 22745 provide a common foundation.
* No Standards:While not all organizations use master data, standards do exist for those that do.


NEW QUESTION # 77
For MDMs. what is meant by a classification scheme?

  • A. A way of classifying unstructured data
  • B. Codes that represent a controlled set of values
  • C. Descriptive language used to control objects
  • D. A vocabulary view covering a limited range of topics

Answer: B

Explanation:
In Master Data Management (MDM), a classification scheme refers to a structured way of organizing data by using codes that represent a controlled set of values. These codes help in categorizing and standardizing data, making it easier to manage, search, and analyze.
References:
* DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition), Chapter 11: Reference and Master Data Management.
* "Master Data Management and Data Governance" by Alex Berson and Larry Dubov.


NEW QUESTION # 78
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